Literature DB >> 20542957

Fifteen observations on the structure of energy-minimizing gaits in many simple biped models.

Manoj Srinivasan1.   

Abstract

A popular hypothesis regarding legged locomotion is that humans and other large animals walk and run in a manner that minimizes the metabolic energy expenditure for locomotion. Here, using numerical optimization and supporting analytical arguments, I obtain the energy-minimizing gaits of many different simple biped models. I consider bipeds with point-mass bodies and massless legs, with or without a knee, with or without a springy tendon in series with the leg muscle and minimizing one of many different 'metabolic cost' models-correlated with muscle work, muscle force raised to some power, the Minetti-Alexander quasi-steady approximation to empirical muscle metabolic rate (from heat and ATPase activity), a new cost function called the 'generalized work cost' C(g) having some positivity and convexity properties (and includes the Minetti-Alexander cost and the work cost as special cases), and generalizations thereof. For many of these models, walking-like gaits are optimal at low speeds and running-like gaits at higher speeds, so a gait transition is optimal. Minimizing the generalized work cost C(g) appears mostly indistinguishable from minimizing muscle work for all the models. Inverted pendulum walking and impulsive running gaits minimize the work cost, generalized work costs C(g) and a few other costs for the springless bipeds; in particular, a knee-torque-squared cost, appropriate as a simplified model for electric motor power for a kneed robot biped. Many optimal gaits had symmetry properties; for instance, the left stance phase was identical to the right stance phases. Muscle force-velocity relations and legs with masses have predictable qualitative effects, if any, on the optima. For bipeds with compliant tendons, the muscle work-minimizing strategies have close to zero muscle work (isometric muscles), with the springs performing all the leg work. These zero work gaits also minimize the generalized work costs C(g) with substantial additive force or force rate costs, indicating that a running animal's metabolic cost could be dominated by the cost of producing isometric force, even though performing muscle work is usually expensive. I also catalogue the many differences between the optimal gaits of the various models. These differences contain information that might help us develop models that better predict locomotion data. In particular, for some biologically plausible cost functions, the presence or absence of springs in series with muscles has a large effect on both the coordination strategy and the absolute cost; the absence of springs results in more impulsive (collisional) optimal gaits and the presence of springs leads to more compliant optimal gaits. Most results are obtained for specific speed and stride length combinations close to preferred human behaviour, but limited numerical experiments show that some qualitative results extend to other speed-stride length combinations as well.

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Year:  2010        PMID: 20542957      PMCID: PMC3024815          DOI: 10.1098/rsif.2009.0544

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  43 in total

1.  Partitioning the energetics of walking and running: swinging the limbs is expensive.

Authors:  Richard L Marsh; David J Ellerby; Jennifer A Carr; Havalee T Henry; Cindy I Buchanan
Journal:  Science       Date:  2004-01-02       Impact factor: 47.728

Review 2.  Energetic consequences of walking like an inverted pendulum: step-to-step transitions.

Authors:  Arthur D Kuo; J Maxwell Donelan; Andy Ruina
Journal:  Exerc Sport Sci Rev       Date:  2005-04       Impact factor: 6.230

3.  Computer optimization of a minimal biped model discovers walking and running.

Authors:  Manoj Srinivasan; Andy Ruina
Journal:  Nature       Date:  2005-09-11       Impact factor: 49.962

4.  Why not walk faster?

Authors:  James Richard Usherwood
Journal:  Biol Lett       Date:  2005-09-22       Impact factor: 3.703

5.  The relation between the work performed and the energy liberated in muscular contraction.

Authors:  W O Fenn
Journal:  J Physiol       Date:  1924-05-23       Impact factor: 5.182

6.  Walking model with no energy cost.

Authors:  Mario Gomes; Andy Ruina
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-03-08

Review 7.  Locomotion: dealing with friction.

Authors:  V Radhakrishnan
Journal:  Proc Natl Acad Sci U S A       Date:  1998-05-12       Impact factor: 11.205

8.  Muscular force in running turkeys: the economy of minimizing work.

Authors:  T J Roberts; R L Marsh; P G Weyand; C R Taylor
Journal:  Science       Date:  1997-02-21       Impact factor: 47.728

9.  A minimum energy cost hypothesis for human arm trajectories.

Authors:  R M Alexander
Journal:  Biol Cybern       Date:  1997-02       Impact factor: 2.086

10.  Mechanical work in terrestrial locomotion: two basic mechanisms for minimizing energy expenditure.

Authors:  G A Cavagna; N C Heglund; C R Taylor
Journal:  Am J Physiol       Date:  1977-11
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  33 in total

1.  Walking on a moving surface: energy-optimal walking motions on a shaky bridge and a shaking treadmill can reduce energy costs below normal.

Authors:  Varun Joshi; Manoj Srinivasan
Journal:  Proc Math Phys Eng Sci       Date:  2015-02-08       Impact factor: 2.704

2.  Predicting power-optimal kinematics of avian wings.

Authors:  Ben Parslew
Journal:  J R Soc Interface       Date:  2015-01-06       Impact factor: 4.118

3.  Walking crowds on a shaky surface: stable walkers discover Millennium Bridge oscillations with and without pedestrian synchrony.

Authors:  Varun Joshi; Manoj Srinivasan
Journal:  Biol Lett       Date:  2018-10-31       Impact factor: 3.703

4.  Sideways walking: preferred is slow, slow is optimal, and optimal is expensive.

Authors:  Matthew L Handford; Manoj Srinivasan
Journal:  Biol Lett       Date:  2014-01-15       Impact factor: 3.703

5.  A controller for walking derived from how humans recover from perturbations.

Authors:  Varun Joshi; Manoj Srinivasan
Journal:  J R Soc Interface       Date:  2019-08-14       Impact factor: 4.118

6.  The metabolic cost of changing walking speeds is significant, implies lower optimal speeds for shorter distances, and increases daily energy estimates.

Authors:  Nidhi Seethapathi; Manoj Srinivasan
Journal:  Biol Lett       Date:  2015-09       Impact factor: 3.703

7.  The metabolic and mechanical costs of step time asymmetry in walking.

Authors:  Richard G Ellis; Kevin C Howard; Rodger Kram
Journal:  Proc Biol Sci       Date:  2013-02-13       Impact factor: 5.349

8.  Walking, running, and resting under time, distance, and average speed constraints: optimality of walk-run-rest mixtures.

Authors:  Leroy L Long; Manoj Srinivasan
Journal:  J R Soc Interface       Date:  2013-01-30       Impact factor: 4.118

9.  Walking speed and step length asymmetry modify the energy cost of walking after stroke.

Authors:  Louis N Awad; Jacqueline A Palmer; Ryan T Pohlig; Stuart A Binder-Macleod; Darcy S Reisman
Journal:  Neurorehabil Neural Repair       Date:  2014-10-05       Impact factor: 3.919

10.  Body weight support impacts lateral stability during treadmill walking.

Authors:  Andrew C Dragunas; Keith E Gordon
Journal:  J Biomech       Date:  2016-06-01       Impact factor: 2.712

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